Preparing your data engineering showcase...
A collection of data engineering projects, open source contributions, and technical experiments. Each project showcases different aspects of modern data infrastructure and ML pipelines.
Schema-aware synthetic data platform for databases, APIs, and pipelines. Generates realistic, relational, and privacy-safe data.
Safe, audited SQL execution layer for AI agents via the MCP pattern.
Local-first CLI to debug API tokens, track platform changelogs & sunsets, and manage secrets safely.
Schema-aware synthetic data platform for databases, APIs, and pipelines. Generates realistic, relational, and privacy-safe data.
Safe, audited SQL execution layer for AI agents via the MCP pattern.
Local-first CLI to debug API tokens, track platform changelogs & sunsets, and manage secrets safely.
ESG data validation, prediction API, and Streamlit dashboard for automated compliance analytics.
End-to-end lakehouse demonstrating ingestion, transformation, and analytics with comprehensive data engineering workflows.
AI-driven personalized learning path generator with job market analysis for data engineering and analytics careers.
Real-world case studies for batch and streaming pipelines with practical examples and best practices for data engineering.
Geo-mapping tool automating suburb-to-region classification with advanced geographic data processing capabilities.
Streamlit app for job matching, user ratings, and analytics dashboard with comprehensive user experience features.